Abstract
A methodology has been developed for the combined exploitation of the information content in several different types of rainfall and hydrological measurements. The methodology is based on simple rain plane and runoff models that are incorporated into a stochastic state–space model approach. State estimation is done using the extended Kalman filter in combination with a maximum likelihood estimation criterion and an off-line optimisation routine. This paper presents the preliminary results of the application of the methodology for the combined use of multiple rainfall and runoff data on a 4800 ha urban catchment within the Emscher river basin in Germany. The time series used come from 12 rain gauges, a C-band and an X-band radar covering the same area and a microwave link. The preliminary results support the methodology's potential as a technique for the combined use of different types of rainfall and runoff data. The results are discussed in terms of applicability, the methodology's limitations and future improvements.
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